Abstract
The design and implementation of vehicle suspension systems is complex and time-consuming process that usually leads to production delays. Although different Model Driven Engineering (MDE) technologies like EAST-ADL/AUTOSAR are frequently applied to expedite vehicle development process, a framework particularly dealing with design and analysis of vehicle suspension is hard to find in literature. This rises the need of a framework that not only supports the analysis of suspension system at higher abstraction level but also complements the existing standards like EAST-ADL. In this article, a Model driven framework for Vehicle Suspension System (MVSS) is proposed. Particularly, a meta-model containing major vehicle suspension aspects is introduced. Subsequently, a modeling editor is developed using Eclipse Sirius platform. This allows the modeling of both simple as well as complex vehicle suspension systems with simplicity. Moreover, Object Constraint Language (OCL) is utilized to perform early system analysis in modeling phase. Furthermore, the target MATLAB-Simulink models are generated from source models, using model-to-text transformations, to perform advanced system analysis. The application of proposed framework is demonstrated through real life Audi A6L Hydraulic active suspension use case. The initial results indicate that proposed framework is highly effective for the design and analysis of vehicle suspension systems. In addition to this, the analysis results could be propagated to EAST-ADL toolchains to support full vehicle development workflow.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Goodarzi, A., Khajepour, A.: Vehicle Suspension System Technology and Design. Springer, Heidelberg (2017)
Eligar, S.S., Banakar, R.M.: A survey on passive, active and semiactive automotive suspension systems and analyzing tradeoffs in design of suspension systems. In: 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), pp. 2908–2913 (2018)
Wu, J., Zhou, H., Liu, Z., Gu, M.: Ride comfort optimization via speed planning and preview semi-active suspension control for autonomous vehicles on uneven roads. IEEE Trans. Veh. Technol. 69(8), 8343–8355 (2020)
Zhang, H., Zheng, X., Li, H., Wang, Z., Yan, H.: Active suspension system control with decentralized event-triggered scheme. IEEE Trans. Ind. Electron. 67(12), 10798–10808 (2020). https://doi.org/10.1109/TIE.2019.2958306
Xue, X.D., et al.: Study of art of automotive active suspensions. In: International Conference on Power Electronics Systems and Applications, Hong Kong, China, pp. 1–7 (2011)
Wang, X., Zhuang, W., Yin, G.: Learning-based vibration control of vehicle active suspension. In: 18th International Conference on Industrial Informatics (INDIN), pp. 94–99 (2020)
Anwar, M.W., Rashid, M., Azam, F., Kashif, M., Butt, W.H.: A model-driven framework for design and verification of embedded systems through SystemVerilog. Des. Autom. Embed. Syst. 23(3–4), 179–223 (2019). https://doi.org/10.1007/s10617-019-09229-y
Anwar, M.W., Rashid, M., Azam, F., Naeem, A., Kashif, M., Butt, W.H.: A unified model-based framework for the simplified execution of static and dynamic assertion-based verification. IEEE Access 8, 104407–104431 (2020)
Na, J., Huang, Y., Pei, Q., Wu, X., Gao, G., Li, G.: Active suspension control of full-car systems without function approximation. IEEE/ASME Trans. Mechatron. 25(2), 779–791 (2020). https://doi.org/10.1109/TMECH.2019.2962602
Blom, H., Chen, D.-J., Kaijser, H., Papadopoulos, Y.: EAST-ADL: an architecture description language for automotive software-intensive systems in the light of recent use and research. Int. J. Syst. Dyn. Appl. 5(3), 1–20 (2016). https://doi.org/10.4018/IJSDA.2016070101
Bucaioni, A., et al.: MoVES: a model-driven methodology for vehicular embedded systems. IEEE Access 6, 6424–6445 (2018). https://doi.org/10.1109/ACCESS.2018.2789400
Mubeen, S., Nolte, T., Sjödin, M., Lundbäck, J., Lundbäck, K.-L.: Supporting timing analysis of vehicular embedded systems through the refinement of timing constraints. Softw. Syst. Model. 18(1), 39–69 (2017). https://doi.org/10.1007/s10270-017-0579-8
Soudani, M.S., Aouiche, A., Chafaa, K., Aouiche, E., Taleb, M., Fares, Z.: Comparison between a passive and active suspension vehicle using PID and fuzzy controllers with two entries applied on quarter vehicle model. In: 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), pp. 1–6 (2019)
Pan, K.-Y., Hsu, L.-T., Lee, L.-W., Chiang, H.-H., Li, I.-H., Wang: Development and control of active vehicle suspension systems using pneumatic muscle actuator. In: 2017 International Conference on Real-Time Computing and Robotics (RCAR), pp. 617–622 (2017)
Acknowledgement
This work was partially supported by the Knowledge Foundation through MoDev project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Anwar, M.W., Shuaib, M.T.B., Azam, F., Safdar, A. (2022). A Model-Driven Framework for Design and Analysis of Vehicle Suspension Systems. In: Lopata, A., Gudonienė, D., Butkienė, R. (eds) Information and Software Technologies. ICIST 2022. Communications in Computer and Information Science, vol 1665. Springer, Cham. https://doi.org/10.1007/978-3-031-16302-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-031-16302-9_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-16301-2
Online ISBN: 978-3-031-16302-9
eBook Packages: Computer ScienceComputer Science (R0)